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  # A Swedish Bert model
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  ## Model description
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- This model has the same architecture as the Bert Large model in [this paper](https://arxiv.org/abs/1810.04805). It was trained with a batch size of 512 in 600k steps. It is implemented with the Megatron Bert Architecture containing following parameters:
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  <figure>
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  | Hyperparameter | Value |
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  ## Training data
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- The model is pretrained on a Swedish text corpus of around 80 GB from a variety of sources as shown below.
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  <figure>
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  | Dataset | Genre | Size(GB)|
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  # A Swedish Bert model
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  ## Model description
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+ This model follows the Bert Large model architecture as implemented in [Megatron-LM framework](https://github.com/NVIDIA/Megatron-LM). It was trained with a batch size of 512 in 600k steps. The model contains following parameters:
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  <figure>
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  | Hyperparameter | Value |
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  ## Training data
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+ The model is pretrained on a Swedish text corpus of around 85 GB from a variety of sources as shown below.
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  <figure>
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  | Dataset | Genre | Size(GB)|